Presentations
Invited talks
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The role of optimal transportation and geometry in stochastic thermodynamics
PIMS-IFDS-NSF Summer School on Optimal Transport, Univesity of Washington , Seattle, June, 2022 -
Variational Wassserstein Gradient flow
Kantorovich Initiative Retreat, Univesity of Washington , Seattle, Mar, 2022 -
Optimal Transportation Methods in Nonlinear filtering
Nonlinear Dynamics and Controls Lab (NDCL), Univesity of Washington, Seattle, Feb, 2022 -
Controlled Interacting Particle Systems for Estimation and Sampling
Department of Aeronautics & Astronautics, Univetsity of Washington, Seattle, Feb, 2021 -
Feedback Particle Filter: Design, Estimation, and Eror Analysis
University of California Los Angeles, Nov, 2019 -
Feedback Particle Filter: Design, Estimation, Analysis
Department of Mechanical and Aerospace Engineering, University of California Irvine, May, 2019 -
Poisson equation, its approximation, and error analysis
Mathematical Analysis Seminar Series. University of Illinois at Urbana-Champaign, February, 2019 -
Critical Points of Linear Networks
Machine Learning Seminar, University of Illinois at Urbana-Champaign, Sep, 2017 -
Bias-Variance Tradeoff in solution to the Poisson Equation
5th Workshop on Cognition and Control, University of Florida, Gainesville, January, 2017 -
Poisson Equation in Learning and Classification
4th Workshop on Cognition and Control, University of Florida, Gainesville, January, 2016
Conference and workshop presentations
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Ensemble Kalman Filter for Reinforcement Learning
SIAM Conference on Uncertainty Quantification (UQ22), April, 2022 -
On the relation between information and power in stochastic thermodynamic engines
IEEE Conference on Decision and Control (CDC), December 2021 (virtual) -
Accelerated flow for probability distributions
International Conference on Machine Learning (ICML), Long Beach, June, 2019 -
Accelerated Gradient Flow for Probability Distributions
Coordinated Science Laboratory Student Conference, UIUC, Feb, 2019 -
Error analysis of the stochastic linear feedback particle filter
IEEE Conference on Decision and Control (CDC), Miami Beach, December 2018 -
Error analysis of the linear feedback particle filter
IEEE American control conference (ACC), Milwaukee, June, 2018 -
Error Estimates for the Kernel Gain Function Approximation in the Feedback Particle Filter
IEEE American Control Conference (ACC), Seattle, May, 2017 -
Computationally Efficient Implementation of the FPF Algorithm in High Dimensions
Computational Siience Engineering Fellows Symposium, April, 2017 -
Gain Function Approximation in the Feedback Particle Filter
IEEE Conference on Decision and Control (CDC), Las Vegas, December, 2016 -
An Optimal Transport Formulation of Linear Feedback Particle Filter
IEEE American Control Conference (ACC), Boston, July, 2016 -
Gain Function Approximation in the Feedback Particle Filter
5th Workshop on Control and Game Theory, Purdue University, Purdue, May, 2016 -
A Coupled Oscillator-based Control Architecture for Locomotory Gaits
IEEE Conference on Decision and Control, Los Angeles, December, 2014
Posters
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Mean-field Control for Machine Learning
IEEE Conference on Decision and Control (CDC), Miami Beach, December 2018 -
Numerical Methods to Solve the Weighted Poisson Equation
SIAM Conference on Uncertainty Quantification, Garden Grove, April, 2018 -
How regularization effects the critical points in linear neural networks
Advances in Neural Information Processing Systems (NIPS), Long Beach, December, 2017 -
Mean-field optimal control formulation for global optimization
IPAM Workshop on mean-field games, Los Angeles, August, 2017 -
Optimization in linear neural networks
Midwest Machine Learning Symposium, Chicago, June, 2017 -
Numerical methods to solve the weighted Poisson equation (Best poster award)
Coordinated Science Laboratory Student Conference, UIUC, February, 2017 -
Feedback Particle Filter
UIUC Mechanical Engineering Research Expo, Nov, 2015 -
Linear Feedback Particle Filter
IPAM Summer School on Game Theory, Los Angeles, August, 2015